Comparison of two data sets at different levels/options of the tuna atlas

The purpose of this markdown is to describe the loss of data from the World Tuna Atlas following the different filters. It describes the differences between the initial data and the final data, and is intended for users of the final data who might be tempted to use it without taking into account the various filtering specificities.

The data

The analyzed data are data/Les7entites_finies/entities/global_catch_firms_level0/Rds/georef_dataset_level0_step11global_catch_firms_level0.rds for the initial data and data/Les7entites_finies/entities/global_catch_firms_options_raise_false_level0/Rds/georef_dataset_level0_step11global_catch_firms_options_raise_false_level0.rds for the final data.

The filters used are:

• on species: NULL
• on gears: NULL
• on rfmos:
• on fleets:
• on initial dates:
• on final dates:
• on geographical categories:
• on catch types:

Introduction to the two datasets

We first present the main characteristics of each dimension for each dataset.

Comparison of the two datasets

Spatial footprints

Initial data map

Final data map

Les pertes

Les pertes générales

The number of lines goes from 1.403258 millions to 1.403258 millions, which correspond to a loss of 0%.

The initial dataset has a total of 2.3861231^{7} in tons and of 1.4441068^{8} in number of fish.

The final dataset has a total of 2.383726^{7} in tons and of 1.4431663^{8} in number of fish.

The loss is 2.3971^{4} in tons (0.1%). The loss is 9.405^{4} in number of fish (0.07%).

The losses for each dimension

We will look for each dimension the 5 most important losses.

Geographical data

Temporal data

Comparison of the two catch evolutions

Comparison of the evolution of the cumulative catches